Software Engineer – Python & Kubernetes Integration

Awetomaton • Boulder, CO, CO

17h • Onsite

About The Position

Awetomaton is seeking a Software Engineer to support the TAP Lab at the Boulder Ground Information Facility (BGIF) in Boulder, Colorado. You will work with a small team to adapt, integrate, test, and transition a prototype application that detects and separates closely spaced objects in EO/IR imagery. In this role, you will lead the software integration effort required to connect the Python-based prototype to operational message types, systems, and infrastructure. You will help transform research software into a reliable, maintainable application that can be deployed first in a testbed and ultimately in an operational Kubernetes environment. The application uses Python, NumPy, scikit-image, PyTorch, and Protocol Buffers–style messages. This position must be performed on-site at the BGIF in Boulder, Colorado. An active SECRET security clearance is required. We are considering candidates through September, with a planned start date in October 2026.

Requirements

• Bachelor of Science in computer science, software engineering, computer engineering, or a related engineering discipline.
• At least three years of professional software engineering experience.
• At least one year of professional Python development experience.
• Experience developing modular, reusable, and testable software.
• Experience integrating software components through structured messages, APIs, or other defined interfaces.
• Experience with container technologies such as Docker or Podman.
• Experience with Linux-based development and deployment environments.
• Proficiency with software configuration management using Git.
• Active SECRET security clearance.
• Ability to work on-site at the BGIF in Boulder, Colorado.

Nice To Haves

• Master of Science in computer science, software engineering, computer engineering, or a related discipline.
• Experience deploying and operating applications in Kubernetes.
• Experience defining or integrating Protocol Buffers messages.
• Experience transitioning research or prototype software into testbed or operational environments.
• Experience supporting Python applications that use NumPy, scikit-image, or PyTorch.
• Familiarity with EO/IR, OPIR, GEOINT, image processing, or sensor-data systems.
• Experience with automated build, test, security-scanning, and deployment pipelines.
• Experience with GitFlow, GitOps, GitHub, GitLab, or comparable team-development workflows.
• Experience diagnosing performance, memory, dependency, and data-compatibility issues in distributed systems.

Responsibilities

• Communicate effectively in written and verbal form with engineers, users, and decision-makers.
• Demonstrate initiative when working with limited guidance or ambiguous requirements.
• Develop reliable and maintainable operational applications.
• Design clear interfaces and resolve complex integration problems.
• Develop automated tests that provide confidence in software behavior and algorithm performance.
• Collaborate effectively within a small, multidisciplinary team.
• Lead the software integration effort required to connect the Python-based prototype to operational message types, systems, and infrastructure.
• Transform research software into a reliable, maintainable application that can be deployed first in a testbed and ultimately in an operational Kubernetes environment.

Benefits

• Flexible time off totaling 36 days / year. No approvals required.
• 100% 401k company match up to IRS annual limits. This is a benefit of up to $24,500 for 2026.
• Health plan through Blue Cross Blue Shield with Health Savings Account (HSA). We pay 95% of employee premiums including family plans.
• Employee favorite: Tech and Wellness reimbursement of $3000 / year. Treat yourself with the newest gadgets or athletic gear. No approvals required.
• Annual profit sharing as 401k contribution. No set percent and dependent on annual company performance. Benefit is above and beyond 401k match.
• MacBook laptop and well-equipped office spaces for optimal productivity in office and on-the-go.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level